イケダ ユウスケ   IKEDA Yusuke
  池田 雄介
   所属   東京電機大学大学院  未来科学研究科 情報メディア学専攻
   職種   助教(A)
発表年月日 2016/11/28
発表テーマ Sound source localization based on sparse estimation and convex clustering
会議名 5th ASA and ASJ Joint Meeting
学会区分 国際学会
発表形式 口頭(一般)
単独共同区分 共同
発表者・共同発表者 Tomoya Tachikawa, Kohei Yatabe, Yusuke Ikeda, and Yasuhiro Oikawa
概要 3D sound source localization techniques are important for many applications. They are required to estimate the DOA and the distance of sound sources. In the case of the techniques targeted to estimate the distances of sound sources, monopoles must be used for the model. The proposed method uses sparse estimation with a monopole dictionary in frequency domain, as is well known that the effectiveness of sparse representation for DOA estimation has been in late years. After the sparse estimation, the proposed method uses convex clustering to estimate the DOA and the distance of sound sources. In addition, the proposed method includes the idea that decides the number of all sound sources without a priori information about the number of sound sources.